Senior Palantir Foundry Engineer — Fort Bragg, NC

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. We leverage more than 17 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to transform the way our customers approach constantly changing and complex problem sets by bringing to bear the latest in technology and the highest caliber of talent.

Headquartered in Washington, DC's historic Dupont Circle neighborhood, Barbaricum also has a corporate presence in Tampa, FL, Bedford, IN, and Dayton, OH, with team members across the United States and around the world. As a leader in our space, we partner with firms in the private sector, academic institutions, and industry associations with a goal of continually building our expertise and capabilities for the benefit of our employees and the customers we support. Through all of this, we have built a vibrant corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation. Our teams are at the frontier of the Nation's most complex and rewarding challenges. Join our team.

Barbaricum is seeking a Senior Palantir Foundry Engineer to support the U.S. Army Special Operations Command (USASOC) Chief Data and Analytics Office (CDAO). This position provides hands-on technical leadership in designing, developing, integrating, and optimizing data solutions within the Palantir Foundry platform, translating complex operational requirements into scalable data products, pipelines, and analytical capabilities.

This is a senior-level Palantir Foundry engineering role — not a general data engineering role with limited Foundry exposure. The successful candidate will independently design and implement Foundry data products, develop pipelines and Ontology models, integrate mission data sources, troubleshoot complex platform issues, and work directly with USASOC CDAO stakeholders to deliver operational capabilities. They will collaborate with data engineers, software engineers, data scientists, analysts, mission owners, and government stakeholders to deliver secure, reliable, and mission-focused data solutions.

KEY RESPONSIBILITIES

• Design, develop, and maintain scalable data pipelines, datasets, and data products within the Palantir Foundry platform.

• Develop and optimize Foundry pipelines using Python, SQL, PySpark, and Foundry-native technologies.

• Build and maintain Foundry data transformations, workflows, datasets, and analytical applications supporting USASOC mission requirements.

• Develop and manage Ontology models that represent operational entities, relationships, actions, and mission data.

• Integrate data from disparate enterprise, operational, and mission systems into Foundry.

• Design data ingestion, transformation, validation, and quality processes to ensure reliable and trusted data products.

• Work with data scientists, analysts, and mission users to operationalize analytical models and workflows within Foundry.

• Develop reusable data products and services that support CDAO analytics and decision-making capabilities.

• Troubleshoot pipeline failures, data quality issues, performance problems, and integration challenges.

• Optimize Foundry pipelines and data products for scalability, reliability, performance, and maintainability.

• Support the development and deployment of Foundry applications and workflows that provide actionable insights to mission stakeholders.

• Apply data governance, access controls, security requirements, and data management practices within the platform.

• Collaborate with cybersecurity and systems engineering teams to ensure data solutions operate within applicable security and authorization requirements.

• Participate in technical design reviews and translate mission requirements into technical implementation plans.

• Document data architectures, pipeline designs, integrations, dependencies, and operational procedures.

• Mentor junior engineers and provide technical guidance on Foundry development, data engineering, and platform best practices.

• Support continuous improvement of CDAO’s data engineering architecture, development standards, and engineering practices.

• Participate in Agile development activities, including sprint planning, stand-ups, demonstrations, retrospectives, and backlog refinement.

• Coordinate directly with government technical leads and mission stakeholders to identify requirements, resolve technical issues, and prioritize development efforts.

REQUIRED QUALIFICATIONS

• Active Top Secret/SCI (TS/SCI) security clearance, or the ability to obtain and maintain TS/SCI per contract requirements.

• Master’s degree in Computer Science, Data Science, Computer Engineering, Information Technology, Mathematics, or a related technical field.

• 5+ years of experience in software engineering, data engineering, data platform engineering, or a related technical discipline, including demonstrated hands-on development within Palantir Foundry.

• Experience designing and implementing production-grade data pipelines and data products.

• Experience integrating data from multiple structured and unstructured sources.

• Experience working with relational and non-relational data technologies.

• Experience supporting data engineering solutions in DoD, federal, or other mission-critical environments.

• Experience working in Agile software development environments.

• Experience collaborating directly with technical and non-technical stakeholders to translate mission requirements into technical solutions.

• Strong communicator able to explain complex technical concepts to both technical and government stakeholders, translate ambiguous operational requirements into practical solutions, and serve as a mentor and technical leader who raises engineering standards across the team.

REQUIRED TECHNICAL SKILLS

• Palantir Foundry

• Foundry Ontology

• Foundry Pipeline Builder

• Foundry Workshop and/or Slate

• Python

• SQL

• PySpark

• Data transformation and pipeline development

• Data modeling

• ETL/ELT development

• API and system integration

• Data quality and validation

• Git / version control

• CI/CD concepts and practices

• Cloud-based data platforms

• REST APIs

• Data governance and access controls

• Troubleshooting and performance optimization

CERTIFICATIONS (DOD 8140)

Must hold a current DoD 8140-compliant certification appropriate for this position. Approved examples include:

• CSC

• CSSLP

• GCSA

• GSEC

DESIRED QUALIFICATIONS

• Direct experience supporting USASOC, USSOCOM, or another Special Operations Forces organization.

• Previous experience supporting a Chief Data and Analytics Office (CDAO) or comparable enterprise data organization.

• Experience developing Foundry solutions for DoD mission, intelligence, operations, logistics, or command-and-control use cases.

• Experience working with Foundry in classified or air-gapped environments.

• Experience with Foundry Ontology development and operationalization.

• Experience building Foundry applications using Workshop, Slate, or similar Foundry application-development capabilities.

• Experience integrating Foundry with enterprise APIs, databases, message queues, cloud services, and external applications.

• Experience with data governance, metadata management, data lineage, and data quality frameworks.

• Experience deploying machine learning or advanced analytics capabilities into operational data workflows.

• Experience with AWS, Azure, or other cloud environments.

• Familiarity with DoD data standards, enterprise data architectures, and cybersecurity requirements.

• Experience working in TS/SCI or other classified environments.

• Experience supporting systems subject to RMF/ATO requirements.

• Palantir Foundry certification or demonstrated equivalent platform expertise.

EEO Commitment

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.